Zeitplan

VU Computer Vision

Course details

Timetable

The lecture will be held in presence in WS2022/2023. Enclosed you will find a schedule for orientation of the lecture part.

The start is scheduled for 03.10.2022. The following is a list of the contents of the lecture part and the dates of the units of the exercise part:

Monday: 15:00 – 19:00
Tuesday: 17:00 – 19:00
Location: FAV Hörsaal 1 – INF

Lecture Part

  • 03.10.2022, 15:00 c.t.
    • L1. Introduction: What is Computer Vision?
      • General Introduction
      • History of Computer Vision
      • Why is Vision Hard?
    • L2. Structure of Images 1: Image Formation, 16:45 s.t.
      • Image Geometry and Formation
      • Types of Projections
    • L1 and L2 postponed!
    • E1 Discussion of the general exercise procedure 15:00 ct .
      • Exercise Introduction, Modalities for the exercise part
      • Q&A session
  • 11.10.2022, 17:00 c.t.
    • L3. Structure of Images 2: Texture, Scenes, and Context 1
      • Properties of Light
      • Light Transport – BRDF
      • Structure in Images: Visual Features, Filtering, Transformations
  • 24.10.2022, 15:00 c.t.:
    • L4. Structure of Images 3: Texture, Scenes, and Context 2
      • Linear Image Transform
      • Edges
      • Local Image Analysis
    • L5. Local & Multiscale Representations, 16:45 c.t. 
      •  Wavelets
      • Local Image Representations
      • Multiscale Image Represenations
      • Haar Transform
  • 25.10.2022, 17:00 c.t.:
    • L6. Image Analysis
      • Interest Points, Corners
      • Image Analysis
      • Scene Emergent Features
  • 7.11.2022, 15:00 c.t.:
    • L7. Scenes 1
      • Scene Recognition
      • Bag of Words
      • SIFT
    • L8. Scenes 2, 16:45 c.t.
      • Clustering
      • Pyramid Matching
      • Support Vector Machine
  • 8.11.2022, 17:00 c.t.:
    • L9. Machine Learning for CV
      • Classification
      • Types of Learning
      • Regression
      • Clustering
      • Association
      • Dimension Reduction
      • ANNs
  • 21.11.2022, 15:00 c.t.:
    • L10. Deep Learning for CV
      • Deep Learning
      • CNNs
      • Image Net
    •  L11. Depth Perception, 16:45 c.t.
      • Monocular Cues to Depth
      • Absolute Monocular Cues to Depth
      • 3D Object Categorization
      • Pose Invariance
  • 22.11.2022, 17:00 c.t.:
    • L12. Single View Reconstruction
      • Camera Geometry and Calibration
      • Three-dimensional reconstruction from single and multiple images
      • Single View Metrology
  • 28.11.2022, 15:00 c.t.:
    • L13. Absolute 3D Reconstruction
      • Absolute Monocular 3D Reconstruction
      • Absolute Binocular 3D Reconstruction
      • Stereo Geometry
      • Essential Matrix
    • L14. Multiview Geometry
      • Correspondence Analysis
      • Multiview Geometry & RANSAC
      • Shape from Motion

Exercise part

  • Submission Deadline Assignment 0: 14.10.2022
  • Group Finding until 21.10.2022
  • Submission Deadline Assignment 1: 18.11.2022
  • Oral Interviews Assignment 1: 24. / 25.11.2022
  • Submission Deadline Assignment 2: 20.01.2023
  • Oral Interviews Assignment 2: 26. / 27.01.2023

Tutoring hours will be announced via TUWEL.